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2017 | OriginalPaper | Buchkapitel

Holographic Lexical Chain and Its Application in Chinese Text Summarization

verfasst von : Shengluan Hou, Yu Huang, Chaoqun Fei, Shuhan Zhang, Ruqian Lu

Erschienen in: Web and Big Data

Verlag: Springer International Publishing

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Abstract

Lexical chain has been widely used in many NLP areas. However, when using it for Web text summarization, especially for domain-specific text summarization, we got low accuracy results. The main reason is that traditional lexical chains only take nouns into consideration while information of other grammatical parts is missing. We introduce lexical chains of predicates and adjectives (adverbs) respectively. These three types of lexical chains together are called holographic lexical chains (HLCs), which capture most of the information included in the text. A specifically designed construction method for HLC is presented. We applied HLC method to Chinese text summarization and used machine learning methods whose features are adapted to the new method. In a comparative study of Chinese foreign trade texts, we got summarization results with accuracy of 86.88%. Our HLC construction method obtained improvements of 7.02% in accuracy than the known best methods in Chinese text summarization.

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Titel: Holographic Lexical Chain and Its Application in Chinese Text Summarization
verfasst von: Shengluan Hou
Yu Huang
Chaoqun Fei
Shuhan Zhang
Ruqian Lu
Verlag: Springer International Publishing
Buch: Web and Big Data
Print ISBN: 978-3-319-63578-1

Electronic ISBN: 978-3-319-63579-8

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-63579-8_21

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